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1.
Curr Med Imaging ; 17(12): 1481-1486, 2021.
Article in English | MEDLINE | ID: covidwho-1298113

ABSTRACT

BACKGROUND: During the COVID-19 pandemic, the workload of all radiologists and radiology residents, as well as other clinical physicians, has increased. INTRODUCTION: This study aims to determine the diagnostic performance of radiology residents, who effectively contribute to the diagnosis of COVID-19. METHODS: The thoracic Computed Tomography (CT) images of 135 patients aged 20-83 diagnosed with COVID-19 were evaluated retrospectively by five radiology residents and a radiologist with 10 years of experience. The diagnostic performance of the radiology residents in evaluating COVID-19 was assessed according to their year of residency and the patients' age and gender. Receiver Operating Characteristic (ROC) curve analysis was performed to determine the sensitivity and specificity of radiology residents. RESULTS: The radiology residents' performance in determining COVID-19 using CT findings was evaluated as follows: sensitivity 97.22%, specificity 88.89%, positive predictive value 90.91%, negative predictive value 96.55%, and accuracy 93.33%. According to the year of residency, the sensitivity and specificity of the radiology residents in determining COVID-19 using CT images were between 92.3% and 100%, and 71.43% and 100%, respectively. CONCLUSION: The high sensitivity and specificity of radiology residents in evaluating thoracic CT images for COVID-19 diagnosis indicate that radiologists are as important as clinical physicians in the diagnosis of COVID-19.


Subject(s)
COVID-19 , Radiology , COVID-19 Testing , Humans , Pandemics , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
2.
Turk J Med Sci ; 51(3): 991-1000, 2021 06 28.
Article in English | MEDLINE | ID: covidwho-1110505

ABSTRACT

Background/aim: To investigate the relationship between imaging findings and peripheral blood cell counts of COVID-19 patients and the degree of thymus fat involution of these patients. Materials and methods: Computed tomography (CT) images of 87 patients with COVID-19 positive through RT-PCR testing were evaluated retrospectively by two radiologists. Ground glass densities and other signs of viral pneumonia were recorded, lung involvement was scored quantitatively. The patients thymus fat involution was graded on CT. Neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratios (PLR), lymphocyte and platelet counts were calculated. Imaging findings and degrees of thymus fat involution were compared with laboratory data. Results: Quantitative scoring of lung involvement was calculated at mean 6.63 ± 4.70 (1­23) for observer 1 and mean 6.55 ± 4.65 (1­23) for observer 2 (K = 0.824­1.000). Statistical significance was determined between the increase in age and the increase in scores of lung findings (p = 0.003). Lymphocyte count (p = 0.0001) and PLR (p = 0.001) were significantly lower in patients with severe CT involvement. A statistically significantcorrelation was found between increased thymus fat component and presence of COVID-19 lung involvement in CT (r = 0.461). Conclusion: The severity of imaging findings for COVID-19 patients significantly correlates with the degree of fat involution in patients' thymus tissue.


Subject(s)
COVID-19/diagnosis , Lung/diagnostic imaging , Pandemics , Thymus Gland/diagnostic imaging , Tomography, X-Ray Computed/methods , Adult , COVID-19/blood , COVID-19/epidemiology , Female , Follow-Up Studies , Humans , Lymphocyte Count , Male , Platelet Count , Retrospective Studies , Severity of Illness Index , Turkey/epidemiology , Young Adult
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